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Cloud Digital Assistant Oracle Cloud Platform Digital Assistant 2022 Professional

Oracle Cloud Platform Digital Assistant 2022 Professional

Last Update Dec 23, 2024
Total Questions : 78

To help you prepare for the 1z0-1071-22 Oracle exam, we are offering free 1z0-1071-22 Oracle exam questions. All you need to do is sign up, provide your details, and prepare with the free 1z0-1071-22 practice questions. Once you have done that, you will have access to the entire pool of Oracle Cloud Platform Digital Assistant 2022 Professional 1z0-1071-22 test questions which will help you better prepare for the exam. Additionally, you can also find a range of Oracle Cloud Platform Digital Assistant 2022 Professional resources online to help you better understand the topics covered on the exam, such as Oracle Cloud Platform Digital Assistant 2022 Professional 1z0-1071-22 video tutorials, blogs, study guides, and more. Additionally, you can also practice with realistic Oracle 1z0-1071-22 exam simulations and get feedback on your progress. Finally, you can also share your progress with friends and family and get encouragement and support from them.

Questions 2

You are advised to implement an 80/20 splitwith training and test utterances. This means that 80% of new utterances harvested from the conversation logs should be used as intent training utterances and 20% for testing.

Why is this a good practice?

Options:

A.  

Adding 100% of user phrases to the intent wouldoverload the model.

B.  

Batch testing works more efficiently when there is a ratio of one test utterance for every five training utterances.

C.  

By performing an 80/20 split, you are randomizing which data is added to the utterances.

D.  

By keeping 20% for testing, you are able to test the model with data on which it has not been specifically trained.

Discussion 0
Questions 3

What is the purpose of the training models within Oracle Digital Assistant?

Options:

A.  

build a completesemantic language model allowing a skill to understand 98% of user input in the trained language

B.  

automatically crowdsource sample data to which user input is matched

C.  

automatically create n number of classifications where n is a parameter defined foreach skill

D.  

allow a skill to classify user input to defined intents

Discussion 0
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Questions 4

Which two components can be used in combination with composite bag entities to auto-generate skill responses and flows from definitions saved in bag items?

Options:

A.  

System.ResolveEntities

B.  

System.Text

C.  

System.MatchEntity

D.  

System.CommonResponse

E.  

System.List

Discussion 0
Questions 5

Take a look at the output of a system.List component in the screenshot below, and note how one of the items includes a comma (,).

Questions 5

In the code below, what value would you assign to the optionproperty for it to display items for ‘’Yes’’, No please’’, and ‘’Not sure’’?

Questions 5

Options:

A.  

options: ["Yes","No, please resend","Not sure"]

B.  

options: "Yes, No\u002C please resend. Not sure"

C.  

options: Yes, No\u002C please resend, Not sure

D.  

options: "'Yes', 'No, please resend', 'Not sure'"

E.  

options: [[Yes]. please resend]. [Not sure]]

Discussion 0
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2024-12-06
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